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» Optimization by Simulation Metamodelling Methods
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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
ASAGA: an adaptive surrogate-assisted genetic algorithm
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
Liang Shi, Khaled Rasheed
KI
2009
Springer
14 years 2 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...
CAISE
2001
Springer
14 years 5 days ago
Using UML Action Semantics for Executable Modeling and Beyond
The UML lacks precise and formal foundations for several constructs such as transition guards or method bodies, for which it resorts to semantic loopholes in the form of “uninter...
Gerson Sunyé, François Pennaneac'h, ...
EWC
2010
91views more  EWC 2010»
13 years 6 months ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
WSC
1997
13 years 9 months ago
Single Run Optimization Using the Reverse-Simulation Method
An efficient “Simulation Optimization” technique is developed to solve system design problems which can not be expressed in explicit analytical or mathematical models. In part...
Young Hae Lee, Kyoung Jong Park, Yun Bae Kim